Software - Advanced Energy Solutions

What we do

Optimization

Dispatch/Unit Commitment, hydrothermal planning (SDDP style), expansion, optimization of hydrological chains and operation with real constraints.

Forecast

Demand, prices, inflows, wind/solar with ML and Bayesian approaches.

Market analytics

Spot/contract prices, CMg–CVU curves, availability KPIs.

Cloud & APIs

Cloud execution, interactive dashboards and endpoints to integrate into your systems.

Financial-economic models

Valuation of projects and portfolios, scenarios and sensitivity.

Technologies

Python - Programming language for data analysis and machine learning

Python

Julia - High-performance programming for scientific computing

Julia

Pyomo/HiGHS - Optimization modeling and solver

Pyomo/HiGHS

MLflow - Machine learning lifecycle management

MLflow

XGBoost - Gradient boosting framework

XGBoost

MCMC/Turing.jl - Bayesian inference and probabilistic programming

MCMC/Turing.jl

PostgreSQL - Advanced open-source database

PostgreSQL

BigQuery - Cloud data warehouse

BigQuery

Prophet

Random Forest

ARIMA

Typical cases

UC Simulator for CCGT

Optimize the configuration of your combined cycle power plant to maximize profitability and minimize component wear.

Inflow and price scenario engine

Evaluate the risk and profitability of your PPAs with our inflow and price scenario engine, based on machine learning models.

Modalities

Annual license

Access to our software with updates and technical support.

SaaS managed by GGC

We take care of the infrastructure and operation of the software.

Custom development

We create solutions tailored to your needs.

Technological transfer

We transfer the knowledge and source code of our solutions to you.

Interested in our software solutions?

Request demo